Abstract:

Introduction:
Given the rapid evolution and impact of new digital technologies in the business field, through this study, training in the generation of innovative ideas and entrepreneurship among PhD students is proposed, relying on deep technologies. The case study has focused on the specific context of support for new longevity models. Therefore, the research delves into offering innovative strategies and methodologies that allow students to apply this type of disruptive technologies, to address the challenge of longevity effectively and efficiently in today's societies.

Methodology:
In the study we used a use case approach, focusing on the end user (i.e., older people), in addition to using focus groups, collaborative and multidisciplinary work models (i.e., learning cube), surveys and testimonials of initiatives business related to possible longevity models. Through qualitative analysis, researchers identify key themes, patterns, and insights that shed light on the dynamics of deep technology entrepreneurship in this specialized domain.

Results:
From focus groups and other initiatives to promote innovative ideas, it is evident that students acquire more robust knowledge about deep technologies (e.g., artificial intelligence, robotics or blockchain, among others), as well as its possible applications in the real world, through learning by doing. Furthermore, considering the proposed use case, new paradigms of longevity, has also allowed them to have a perspective of new business models and that soon it is estimated that the silver economy will have a high impact on the global economy, and in Spain, in particular.

Challenges and opportunities:
The study includes the challenges that students face in combining the convergence of deep technologies, highly a priori to the industrial and purely computer field, with new models and longevity needs. These challenges include ethical considerations, data privacy concerns, and the integration of interdisciplinary knowledge. At the same time, the research identifies opportunities for collaboration, interdisciplinary learning, and participation of companies in the sector as crucial elements to realistically promote entrepreneurship in this specialized field.
On the other hand, the implications of this study also extend to the field of educational innovation, promoting new training models that enhance the generation, planning and execution of ideas, with a practical vocation, in addition to delving into the knowledge of deep technologies. in students not necessarily from the STEM field. In the future, the research is intended to generate curricular improvements, interdisciplinary programs and knowledge transfer between the university and the company, to close the gap between theoretical knowledge and practical application. Finally, this work also contributes to the 2030 education SDGs [ref], increasing the number of young people and adults who have the necessary skills, particularly technical and professional, to access employment, work, and entrepreneurship.

Keywords:

Deep-technologies, entrepreneurship education, innovation, doctoral studies.